Case Based Reasoning for Medical Diagnosis using Fuzzy Set Theory

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概要

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• This paper introduces an expert system to realize the diagnosis of medical diseases using case-based reasoning. Inference method and the case base are constructed respectively based on the knowledge of doctor and the questionnaire of patient. After putting the information of the patient for diagnosis into a fuzzy/crisp-frame and scanning the bases, the system can give a suitable diagnosis. The case bases and the reasoning algorithm are performed by using fuzzy method. Our experimental case bases employed real knowledge of Tuberculosis and Lung Diseases(case histories)collected as an example. The system would be used for medical diagnosis, or medical education, where the target diseases can be vary from many different fields. The system was developed in Delphi 3.0, uses Paradox database engine, and runs under Windows 9x.

• バイオメディカル・ファジィ・システム学会の論文

著者

• PHUONG Nguyen

  National Hospital of Pediatrics

• Phuong N

  National Institute Of Information Technology

• Thang Vuong

  Faculty Of Technology Hanoi National University

• HIROTA Kaoru

  Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute Of Technology

• Hirota Kaoru

  Interdisciplinary Graduate School Of Science And Engineering Tokyo Institute Of Technology

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• Case Based Reasoning for Medical Diagnosis using Fuzzy Set Theory
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